What are the responsibilities and job description for the Project/Program Manager(Gen AI/AI/LLM)- Only W2 and Locals for Hybrid work! position at SGS Technologie?
US Citizens and Green card holders would be considered only W2 for hybrid work.
Client is advancing a new generation of AI-driven systems—secure, adaptive platforms that learn continuously to enhance decision-making and client outcomes. As a Lead Project Manager, you’ll oversee high-impact initiatives that bring these agentic AI capabilities to life across the firm. The work is complex, fast-paced, and deeply rewarding—shaping the future of how intelligence flows and decisions are made enterprise-wide.
You’ll partner with engineering, data science, and business leaders to drive delivery of AI platforms, frameworks, and products that transform how advisors and associates work. This is a leadership role for someone who thrives on solving difficult problems, managing ambiguity, and turning breakthrough ideas into scalable, production-grade solutions.
Key Responsibilities
Program Leadership: Manage multiple enterprise-scale AI initiatives from concept through implementation—defining strategy, scope, and success metrics that align with firm objectives.
Execution Excellence: Build and maintain detailed project plans, budgets, and work breakdown structures that balance speed, quality, and compliance.
Stakeholder Alignment: Partner across technology, data governance, and business units to ensure clear communication, accountability, and timely decision-making.
Risk and Change Management: Anticipate and mitigate delivery risks, manage dependencies, and ensure traceable governance for AI and automation initiatives.
AI Integration: Collaborate with technical leads to translate technical milestones into actionable project deliverables.
Continuous Improvement: Drive best practices in agile delivery, metrics, and post-implementation evaluation to ensure ongoing learning and refinement.
Skills:
Demonstrated success leading large, complex technology projects—preferably involving AI, analytics, or intelligent automation.
Experience working through ambiguity to structure and manage work with accountability.
Expertise in project and portfolio management including planning, forecasting, risk management, and stakeholder reporting.
Strong understanding of software development lifecycles, agile delivery, and enterprise technology environments.
Excellent communication, negotiation, and decision-making skills; capable of bridging business and technical domains.
PMP or equivalent certification highly preferred.
Education:
5 years of progressive experience in project or program management, with exposure to AI, data, or technology-driven transformation initiatives.
